stampr_ai is a tool designed for tracking and verifying AI model fingerprints and monitoring changes to model and system cards. It addresses the challenge of confirming AI model identities and tracking updates over time, providing transparency for developers and researchers working with models from providers such as OpenAI, OpenRouter, and Hugging Face.
The platform consists of two main components: a web-based tracker and a Python package. The web tracker allows users to visualize current model fingerprints, observe the historical progression of model changes, and access status information about what is live or still under development. This component also enables inspection of model and card change histories, helping users monitor alterations to models and their associated metadata. The Python package, installable via pip, exposes both a public API and a command-line interface (CLI). Through these, developers can perform fingerprint verification against published, local, or remote targets, generate reference fingerprint JSON files from configuration files, and integrate verification workflows into their own applications or experiments.
stampr_ai supports provider credential configuration for OpenAI, OpenRouter, and Hugging Face, enabling verification across multiple AI model providers. The verification process includes checking model identity against various fingerprint targets, with results exposing fields such as per-check verification outputs, boolean flags indicating step success, verification mode, and error messages for mismatches. The CLI offers commands for quick verification, targeting specific fingerprint hashes, and tracing verification steps with structured outputs.
0a1), with fingerprinting algorithms and verification coverage under active development. The Python package is publicly available for experimentation and integration, and the historical model card tracking site data remains accessible. There is no explicit mention of pricing or open-source licensing in the available information. stampr_ai is positioned as a model fingerprint verification and tracking solution for those seeking to monitor AI model identity and changes over time.
In the AI security & guardrails space, stampr_ai takes a focused approach. It focuses on verifying and tracking the identity and changes of AI models across multiple providers for transparency and security. stampr_ai is an open-source project aimed at ai researchers and developers. stampr_ai is open source under the MIT license. It runs on the web, the command line, and API.
stampr_ai first shipped in 2025. Key capabilities include model fingerprinting, provider tracking, and model card history. It exposes integrations via a public API. stampr_ai is currently in beta.
Summary written by a language model from the project’s public pages.
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